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Enterprise · Integrations

Governance That Fits Into Your Existing MLOps Stack

ClarifAI connects to the tools your data science, platform, and security teams already use. No new workflows, no rip-and-replace. Governance that works with your stack, not against it.

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The Problem

Another Tool Nobody Will Actually Use

Enterprise AI governance fails not because companies lack tools, but because the tools don't fit into existing workflows. When a data scientist has to leave MLflow to file a governance form, they will skip the form. When compliance has to log into a separate portal to get a model report, they will not check it regularly. ClarifAI is designed as an integration-first platform — it surfaces governance where work already happens, not in a standalone silo.

40+
pre-built integrations across MLOps, GRC, and ITSM platforms
< 1hr
integration setup time for standard MLflow or SageMaker deployments
REST + SDK
dual integration modes for every connector — no lock-in
99.9%
API uptime SLA for all integration endpoints
How It Works

Integration Deployment Pattern

How ClarifAI connects to your existing toolchain without disruption.

01

MLOps Platform Connection

Connect ClarifAI to your model registry and serving layer using pre-built connectors for MLflow, Seldon, BentoML, SageMaker, Vertex AI, and Azure ML. The connection captures model metadata, prediction logs, and serving metrics automatically — no code changes to existing pipelines.

02

Alerting & Incident Management

Route governance alerts to the channels your operations team already monitors: PagerDuty for severity-1 drift incidents, Slack for daily compliance summaries, JIRA for governance workflow tasks, ServiceNow for model risk incidents. Configurable per alert type and severity level.

03

GRC & Audit Platform Export

Push governance data to your existing GRC platform: Archer, MetricStream, OneTrust, or ServiceNow GRC. Compliance reports export to PDF, JSON, and CSV for consumption by audit platforms.

04

Data Platform & Observability

Stream governance metrics to your existing data platform (Databricks, Snowflake) and observability stack (Datadog, New Relic, Prometheus/Grafana). Governance metrics sit alongside your existing engineering observability data.

Key Features

Integrations Across Your Entire Stack

🔬

MLOps Platforms

MLflow, Seldon Core, BentoML, AWS SageMaker, Google Vertex AI, Azure Machine Learning, Kubeflow, Weights & Biases, Neptune.ai.

🔔

Alerting & ITSM

PagerDuty, OpsGenie, Slack, Microsoft Teams, JIRA, ServiceNow, Zendesk. Webhook support for any custom alerting system.

🏛️

GRC Platforms

Archer GRC, MetricStream, OneTrust, ServiceNow GRC, LogicGate. Compliance data export in regulator-formatted templates.

📊

Data & BI Platforms

Snowflake, Databricks, BigQuery, Redshift. Push governance metrics to your existing data warehouse for custom reporting and dashboarding in Tableau, Power BI, or Looker.

🔭

Observability & Monitoring

Datadog, New Relic, Prometheus, Grafana, Elastic APM. Stream model governance metrics alongside infrastructure and application metrics.

🔧

Custom Integrations via API

Full REST API with OpenAPI 3.0 spec and SDK libraries for Python, Java, and Node.js. Build custom integrations for proprietary platforms in hours, not months.

Not Sure if Your Stack Is Supported?

Tell us what you're running and we'll give you a definitive integration assessment in 24 hours.

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